BetaCitation Atlas

RESEARCH PAPER · Journal of Chemical Information and Modeling · 2021

Artificial Intelligence in Chemistry: Current Trends and Future Directions

Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, Yanan Zhao, Steven P. Watkins, Qiongqiong Angela Zhou

Read original paper ↗

See where this research leads.

285 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Artificial Intelligence in Chemistry: Current Trends and Future DirectionsOriginalArtificial intelligence in microbial natural product drug discovery: current and emerging role81Deep learning for enantioselectivity predictions in catalytic asymmetric β-C–H bond activation reactions31Machine learning for design principles for single atom catalysts towards electrochemical reactions116Molecular Sonification for Molecule to Music Information Transfer16Emerging chemistry technologies for a better world26Working at the interfaces of data science and synthetic electrochemistry21How to embrace the age of intelligence——taking chemistry as an example1The transformational role of GPU computing and deep learning in drug discovery253QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide26Modeling of the Crystallization Conditions for Organic Synthesis Product Purification Using Deep Learning3Recent progress towards a universal machine learning model for reaction energetics in heterogeneous catalysis20Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis?18Diving into the Deep End: Machine Learning for the Chemist2Feasibility and application of machine learning enabled fast screening of poly-beta-amino-esters for cartilage therapies7Comprehensive Exposure Studies of Per- and Polyfluoroalkyl Substances in the General Population: Target, Nontarget Screening, and Toxicity Prediction53História da química computacional e do uso dos computadores em química2Advancing health care via artificial intelligence: From concept to clinic42Machine learning for yield prediction for chemical reactions using in situ sensors11Virtual data augmentation method for reaction prediction19User trust in artificial intelligence: A comprehensive conceptual framework169Predictive Molecular Models for Charged Materials Systems: From Energy Materials to Biomacromolecules13Engineering discrete synthetic macromolecules for biomedical applications16Merging enzymatic and synthetic chemistry with computational synthesis planning81Multi-Pesticide Residue Analysis Method Designed for the Robot Experimenters13Deployment of oxidoreductases for sustainable biocatalytic degradation of selected endocrine-disrupting chemicals16Deep learning-based method for automatic resolution of gas chromatography-mass spectrometry data from complex samples24A meso-scale cartography of the AI ecosystem13Agrochemistry and Pharma0Current trends in chromatographic prediction using artificial intelligence and machine learning48Discovery of anticancer therapeutics: Computational chemistry and Artificial Intelligence-assisted approach1Machine learning based microfluidic sensing device for viscosity measurements23Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques0Which molecular properties determine the impact sensitivity of an explosive? A machine learning quantitative investigation of nitroaromatic explosives34Development of the Hands-free AI Speaker System Supporting Hands-on Science Laboratory Class8A Review on Artificial Intelligence Enabled Design, Synthesis, and Process Optimization of Chemical Products for Industry 4.076Navigating with chemometrics and machine learning in chemistry56Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights24Feature Selection for the Interpretation of Antioxidant Mechanisms in Plant Phenolics15New avenues in artificial-intelligence-assisted drug discovery110The Artificial Intelligence Explanatory Trade-Off on the Logic of Discovery in Chemistry8Curated dataset of association constants between a cyclodextrin and a guest for machine learning11Accelerated Electrosynthesis Development Enabled by High-Throughput Experimentation11Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis48The certainty of a few good reactions22Recent advances in nanostructured materials: A look at the applications in optical chemical sensing28Mapping human pathogens in wastewater using a metatranscriptomic approach9Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021140Advanced bioremediation by an amalgamation of nanotechnology and modern artificial intelligence for efficient restoration of crude petroleum oil-contaminated sites: a prospective study64Artificial intelligence assisted with designing metal‐organic frameworks (MOFs)17Predicting the ET(30) parameter of organic solvents via machine learning16Modulating the microenvironment of single atom catalysts with tailored activity to benchmark the CO2 reduction117ЕКСТРАПОЛЯЦІЯ ЗАЛЕЖНОСТІ ВМІСТУ ЗАЛІЗА ВІД ПИТОМОЇ ВАГИ ПРОБИ З ВИКОРИСТАННЯМ ШТУЧНОГО ІНТЕЛЕКТУ0Fabrication of Polyamide6/Polyaniline as an Effective Nano-web Membrane for Removal of Cr (VI) from Water and a Black Box Approach in Modeling of Adsorption Process15Towards Machine Learning in Heterogeneous Catalysis—A Case Study of 2,4-Dinitrotoluene Hydrogenation6Applications of machine learning in supercritical fluids research47Raman spectroscopy and its plasmon ‐enhanced counterparts: A toolbox to probe protein dynamics and aggregation14Scientific discovery in the age of artificial intelligence1779Review on ChatGPT: History, Applications and Limitations in Chemistry1Sulfur fluoride exchange125Assessment of computational prediction of infra-red spectrograms of nucleotide reverse transcriptase inhibitor class antiretroviral drugs in the FT-IR method validation1Advances and applications of machine learning and deep learning in environmental ecology and health119ChatGPT Generated Content and Similarity Index in Chemistry13Tracing a new path in the field of AI and robotics: mimicking human intelligence through chemistry. Part I: molecular and supramolecular chemistry14“A Nova Eletricidade”: Aplicações, Riscos e Tendências da IA Moderna0Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs177Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel51ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs168A machine learning approach for predicting the reactivity power of hypervalent iodine compounds7Rediscovering the Particle-in-a-Box: Machine Learning Regression Analysis for Hypothesis Generation in Physical Chemistry Lab13Optimized Machine learning techniques Enable prediction of organic dyes photophysical Properties: Absorption Wavelengths, emission Wavelengths, and quantum yields44The Theory of Probabilistic Hierarchical Supervised Learning for Classification4Latent Variable Machine Learning Framework for Catalysis: General Models, Transfer Learning, and Interpretability23AIDDISON: Empowering Drug Discovery with AI/ML and CADD Tools in a Secure, Web-Based SaaS Platform27Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models26Application of Artificial Intelligence in Biochemistry Research: A Review1A comprehensive review on sustainable surfactants from CNSL: chemistry, key applications and research perspectives63AI in computational chemistry through the lens of a decade-long journey30Analysis of Particle Size in Composite Materials Using Image Processing7Chemoinformatics and big data analytics: Revolutionizing chemical research - A review3Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies2Design of sulfonimide anions for rechargeable lithium batteries10The Integration of Artificial Intelligence in Advanced Wastewater Treatment Systems12Artificial Intelligence–Based Clean Water and Sanitation Monitoring3Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields30Harvesting Chemical Understanding with Machine Learning and Quantum Computers10Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview14Artificial intelligence and water quality: From drinking water to wastewater74Flight traits of dengue-infected Aedes aegypti mosquitoes17Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes25Artificial molecular pumps20Predicting the formation of NADES using a transformer-based model26Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes31Warp and Woof of Drug Designing and Development: An In-Silico Approach0Kajian Literatur Pemanfaatan Teknologi Artificial Intelligence untuk Meningkatkan Keterampilan Abad 21 Siswa dalam Pembelajaran Kimia1Advancing Sustainability: Biodegradable Electronics and New Materials through AI and Machine Learning3THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON CUSTOMER BEHAVIOR3ПЕРСПЕКТИВИ РОЗВИТКУ ХІМІЧНОЇ ОСВІТИ В УМОВАХ СУЧАСНИХ ВИКЛИКІВ0Trendbericht Analytische Chemie 20241An Artificial Intelligence–Supported Medicinal Chemistry Project: An Example for Incorporating Artificial Intelligence Within the Pharmacy Curriculum17Machine Learning Prediction of Quantum Yields and Wavelengths of Aggregation-Induced Emission Molecules14Artificial intelligence and natural product research0Artificial Intelligence-Assisted Multiparameter Size Discrimination of Silver Nanoparticles through Electrochemical Collision10Groundwater Quality and Suitability Assessment in Tirupur Region, Tamil Nadu, India18A soft cable loop based gripper for robotic automation of chemistry13The past is the future: from natural acid-base indicators to natural reagents in sustainable analytical chemistry4Forecasting vaping health risks through neural network model prediction of flavour pyrolysis reactions13Recent progress in machine learning approaches for predicting carcinogenicity in drug development31Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors85A retrospective view on non-linear methods in chemometrics, and future directions9Research on the Development Status of the Combination of Biology, Chemistry, Geology and Artificial Intelligence0Decoding the commutable first hyperpolarisability of keto–enol tautomer using DFT and AI-based soft computing method2ChatGPT Writing Assistance and Evaluation Assignments Across the Chemistry Curriculum46Completion of partial chemical equations3Designer Anions for Better Rechargeable Lithium Batteries and Beyond50Advancements in Chemical Materials: Exploring Smart Storage Equipment and Protection Systems (Review)2Interaction with Artificial Intelligence as a Potential of Foreign Language Teaching Program in Graduate School7Assignment of Regioisomers Using Infrared Spectroscopy: A Python Coding Exercise in Data Processing and Machine Learning9Machine Learning as a Part of Pharmaceutical Product Development1Possible opportunities and challenges for traditional Chinese medicine research in 203530AI for organic and polymer synthesis36Stereoisomers Are Not Machine Learning’s Best Friends7Unveiling Hidden Insights in Gas Chromatography Data Analysis with Generative Adversarial Networks12Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds10Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?10Solving Advanced Task-Specific Problems in Measurement Sciences with Generative AI3Assessment of new semi-empirical density based model for prediction the solubility of pharmaceutical components in supercritical carbon dioxide6Using ChatGPT for Method Development and Green Chemistry Education in Upper-Level Laboratory Courses36Challenges of Integrating Artificial Intelligence into Testing Laboratories2Advancements and Challenges of Artificial Intelligence in Drug Discovery and Synthetic Organic Chemistry0On-site trace detection of explosives: From ultra-sensitive SERS to integrated detection technology17A Taxonomy of AI-Based Assessment Educational Technologies7Enhancing AI Responses in Chemistry: Integrating Text Generation, Image Creation, and Image Interpretation through Different Levels of Prompts24Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review45BrainUnit : Integrating Physical Units into High-Performance AI-Driven Scientific Computing1Ensuring food and water safety using magnetic mesoporous silica nanomaterials-based biosensors16From Molecular Electronics to Molecular Intelligence59AI-Guided Design of MALDI Matrices: Exploring the Electron Transfer Chemical Space for Mass Spectrometric Analysis of Low-Molecular-Weight Compounds4Leveraging graph neural networks to predict Hammett’s constants for benzoic acid derivatives7Near Infrared Spectroscopy (NIRS) Model Based on Transfer Learning11Artificial Intelligence, Smart Applications and Sustainable Consumption: A Theoretical Overview4Applications of machine learning in drinking water quality management: A critical review on water distribution system25Autonomous Laboratory Empowered by AI and Robotics0A review of large language models and autonomous agents in chemistry269AI for Property Modeling, Solvent Tailoring, and Process Design0Deep learning-driven prediction of chemical addition patterns for carboncones and fullerenes2STOUT V2.0: SMILES to IUPAC name conversion using transformer models11AI molecular catalysis: where are we now?30Carbonyl-based organic electrode materials spanning from nonaqueous rechargeable lithium to calcium batteries13Computation-guided exploration of the reaction parameter space of N , N -dimethylformamide hydrolysis6Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry51

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

285 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. Artificial intelligence in microbial natural product drug discovery: current and emerging role

    Natural Product Reports · 2022-01-01

    Vinodh J Sahayasheela, Manendra B. Lankadasari, Vipin Mohan Dan, Syed Gulam Dastager, Ganesh N. Pandian, Hiroshi Sugiyama

    Read original paper ↗ ·

  2. Deep learning for enantioselectivity predictions in catalytic asymmetric β-C–H bond activation reactions

    Digital Discovery · 2022-01-01

    Ajnabiul Hoque, Raghavan B. Sunoj

    Read original paper ↗ ·

  3. Machine learning for design principles for single atom catalysts towards electrochemical reactions

    Journal of Materials Chemistry A · 2022-01-01

    Mohsen Tamtaji, Hanyu Gao, Md Delowar Hossain, Patrick Ryan Galligan, Hoilun Wong, Zhenjing Liu, Hongwei Liu, Yuting Cai, William A. Goddard, Zhengtang Luo

    Read original paper ↗ ·

  4. Molecular Sonification for Molecule to Music Information Transfer

    Digital Discovery · 2022-01-01

    Babak A. Mahjour, Jordan Bench, Rui Zhang, Jared Frazier, Tim Cernak

    Read original paper ↗ ·

  5. Emerging chemistry technologies for a better world

    Nature Chemistry · 2022-01-31

    Fernando Gomollón‐Bel, Javier García‐Martínez

    Read original paper ↗ ·

  6. Working at the interfaces of data science and synthetic electrochemistry

    Tetrahedron Chem · 2022-03-01

    Jesus I. Martinez Alvarado, Jonathan M. Meinhardt, Song Lin

    Read original paper ↗ ·

  7. How to embrace the age of intelligence——taking chemistry as an example

    Scientia Sinica Chimica · 2022-03-14

    Jinglong Lin, Qianyi Liu, Fanyang Mo

    Read original paper ↗ ·

  8. The transformational role of GPU computing and deep learning in drug discovery

    Nature Machine Intelligence · 2022-03-23

    Mohit Kumar Pandey, Michael Fernández, Francesco Gentile, Olexandr Isayev, Alexander Tropsha, Abraham C. Stern, Artem R Cherkasov

    Read original paper ↗ ·

  9. QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide

    Molecular Informatics · 2022-04-04

    Imane Euldji, Cherif Si‐Moussa, Mabrouk Hamadache, Othmane Benkortbi

    Read original paper ↗ ·

  10. Modeling of the Crystallization Conditions for Organic Synthesis Product Purification Using Deep Learning

    Electronics · 2022-04-24

    Mantas Vaškevičius, Jurgita Kapočiūtė-Dzikienė, Liudas Šlepikas

    Read original paper ↗ ·

  11. Recent progress towards a universal machine learning model for reaction energetics in heterogeneous catalysis

    Current Opinion in Chemical Engineering · 2022-04-29

    Gloria A Sulley, M. M. Montemore

    Read original paper ↗ ·

  12. Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis?

    ACS Applied Bio Materials · 2022-06-01

    Ramya Kumar

    Read original paper ↗ ·

  13. Diving into the Deep End: Machine Learning for the Chemist

    ACS Omega · 2022-07-20

    Silvia Imberti

    Read original paper ↗ ·

  14. Feasibility and application of machine learning enabled fast screening of poly-beta-amino-esters for cartilage therapies

    Scientific Reports · 2022-08-20

    Stefano Perni, Polina Prokopovich

    Read original paper ↗ ·

  15. Comprehensive Exposure Studies of Per- and Polyfluoroalkyl Substances in the General Population: Target, Nontarget Screening, and Toxicity Prediction

    Environmental Science & Technology · 2022-09-29

    Laihui Li, Nanyang Yu, Xuebin Wang, Wei Feng Shi, Hongling Liu, Xiaowei Zhang, Liuyan Yang, Bingcai Pan, Hongxia Yu, Si Wei

    Read original paper ↗ ·

  16. História da química computacional e do uso dos computadores em química

    História da Ciência e Ensino construindo interfaces · 2022-09-29

    Sérgio Paulo Jorge Rodrigues, P. J. S. B. Caridade

    Read original paper ↗ ·

  17. Advancing health care via artificial intelligence: From concept to clinic

    European Journal of Pharmacology · 2022-10-08

    Grandhi Sandeep Ganesh, Aravinda Sai Kolusu, Prasad Konduri, Pavan Kumar Samudrala, Kumar V.S. Nemmani

    Read original paper ↗ ·

  18. Machine learning for yield prediction for chemical reactions using in situ sensors

    Journal of Molecular Graphics and Modelling · 2022-10-12

    Joseph C. Davies, David Pattison, Jonathan D. Hirst

    Read original paper ↗ ·

  19. Virtual data augmentation method for reaction prediction

    Scientific Reports · 2022-10-12

    Xinyi Wu, Yun Zhang, Jiahui Yu, Chengyun Zhang, Haoran Qiao, Yejian Wu, Xinqiao Wang, Zhipeng Wu, Hongliang Duan

    Read original paper ↗ ·

  20. User trust in artificial intelligence: A comprehensive conceptual framework

    Electronic Markets · 2022-11-04

    Rongbin Yang, Santoso Wibowo

    Read original paper ↗ ·

  21. Predictive Molecular Models for Charged Materials Systems: From Energy Materials to Biomacromolecules

    Advanced Materials · 2022-11-14

    Kyeong‐Jun Jeong, Seungwon Jeong, Sangmin Lee, Chang Yun Son

    Read original paper ↗ ·

  22. Engineering discrete synthetic macromolecules for biomedical applications

    Nano Today · 2022-12-14

    Aizong Shen, Lei Zhang, Yanbo Xie, Xueyu Zhu, Jinming Hu, Shiyong Liu

    Read original paper ↗ ·

  23. Merging enzymatic and synthetic chemistry with computational synthesis planning

    Nature Communications · 2022-12-14

    Itai Levin, Mengjie Liu, Christopher A. Voigt, Connor W. Coley

    Read original paper ↗ ·

  24. Multi-Pesticide Residue Analysis Method Designed for the Robot Experimenters

    Journal of Agricultural and Food Chemistry · 2022-12-15

    Shuang Zhang, Ninghui Song, Zhiyong He, Maomao Zeng, Jie Chen

    Read original paper ↗ ·

  25. Deployment of oxidoreductases for sustainable biocatalytic degradation of selected endocrine-disrupting chemicals

    Sustainable Chemistry and Pharmacy · 2022-12-19

    Anil Kumar Singh, Muhammad Bilal, Teofil Jesionowski, Hafiz M.N. Iqbal

    Read original paper ↗ ·

  26. Deep learning-based method for automatic resolution of gas chromatography-mass spectrometry data from complex samples

    Journal of Chromatography A · 2022-12-29

    Yingjie Fan, Chuanxiu Yu, Hongmei Lü, Yi Chen, Binbin Hu, Xingren Zhang, Jiaen Su, Zhimin Zhang

    Read original paper ↗ ·

  27. A meso-scale cartography of the AI ecosystem

    Quantitative Science Studies · 2023-01-01

    Floriana Gargiulo, Sylvain Fontaine, Michel J.F. Dubois, Paola Tubaro

    Read original paper ↗ ·

  28. Agrochemistry and Pharma

    Springer eBooks · 2023-01-01

    Sílvio Vaz

    Read original paper ↗ ·

  29. Current trends in chromatographic prediction using artificial intelligence and machine learning

    Analytical Methods · 2023-01-01

    Yash Raj Singh, Darshil B. Shah, Mangesh Kulkarni, Shreyanshu R. Patel, Dilip Maheshwari, Jignesh S. Shah, Shreeraj Shah

    Read original paper ↗ ·

  30. Discovery of anticancer therapeutics: Computational chemistry and Artificial Intelligence-assisted approach

    Elsevier eBooks · 2023-01-01

    Subrata Das, Anupam Das Talukdar, Deepa Nath, Manabendra Dutta Choudhury

    Read original paper ↗ ·

  31. Machine learning based microfluidic sensing device for viscosity measurements

    Sensors & Diagnostics · 2023-01-01

    Adil Mustafa, Daniyal Haider, Arnab Barua, Melikhan Tanyeri, Ahmet Can Erten, Özlem Yalçın

    Read original paper ↗ ·

  32. Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques

    SSRN Electronic Journal · 2023-01-01

    Kapil Dev Mahato

    Read original paper ↗ ·

  33. Which molecular properties determine the impact sensitivity of an explosive? A machine learning quantitative investigation of nitroaromatic explosives

    Physical Chemistry Chemical Physics · 2023-01-01

    Júlio César Duarte, Romulo Dias da Rocha, Itamar Borges

    Read original paper ↗ ·

  34. Development of the Hands-free AI Speaker System Supporting Hands-on Science Laboratory Class

    International Journal of Emerging Technologies in Learning (iJET) · 2023-01-10

    Gyeong-Geon Lee, Minji Choi, Taesoo An, Seonyeong Mun, Hun‐Gi Hong

    Read original paper ↗ ·

  35. A Review on Artificial Intelligence Enabled Design, Synthesis, and Process Optimization of Chemical Products for Industry 4.0

    Processes · 2023-01-19

    Chasheng He, Chengwei Zhang, Tengfei Bian, Kaixuan Jiao, Weike Su, Ke‐Jun Wu, An Su

    Read original paper ↗ ·

  36. Navigating with chemometrics and machine learning in chemistry

    Artificial Intelligence Review · 2023-01-23

    Payal B. Joshi

    Read original paper ↗ ·

  37. Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights

    The Journal of Chemical Physics · 2023-01-30

    Yuxinxin Chen, Yanchi Ou, Peikun Zheng, Yaohuang Huang, Fuchun Ge, Pavlo O. Dral

    Read original paper ↗ ·

  38. Feature Selection for the Interpretation of Antioxidant Mechanisms in Plant Phenolics

    Molecules · 2023-02-02

    Taiki Fujimoto, Hiroaki Gotoh

    Read original paper ↗ ·

  39. New avenues in artificial-intelligence-assisted drug discovery

    Drug Discovery Today · 2023-02-02

    Carmen Cerchia, Antonio Lavecchia

    Read original paper ↗ ·

  40. The Artificial Intelligence Explanatory Trade-Off on the Logic of Discovery in Chemistry

    Philosophies · 2023-02-23

    José Ferraz-Caetano

    Read original paper ↗ ·

  41. Curated dataset of association constants between a cyclodextrin and a guest for machine learning

    Chemical Data Collections · 2023-03-29

    Gökhan Tahıl, Fabien Delorme, Daniel Le Berre, Éric Monflier, Adlane Sayede, Sébastien Tilloy

    Read original paper ↗ ·

  42. Accelerated Electrosynthesis Development Enabled by High-Throughput Experimentation

    Synthesis · 2023-04-12

    Yiming Mo, Huijie Chen

    Read original paper ↗ ·

  43. Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis

    Scientific Reports · 2023-04-12

    Friederike Maite Siemers, Jürgen Bajorath

    Read original paper ↗ ·

  44. The certainty of a few good reactions

    Chem · 2023-04-19

    Adam D. Moorhouse, Joshua A. Homer, John E. Moses

    Read original paper ↗ ·

  45. Recent advances in nanostructured materials: A look at the applications in optical chemical sensing

    Materials Today Nano · 2023-04-20

    Samuel Veloso Carneiro, J.J.P. Oliveira, Vivian Stephanie Ferreira Rodrigues, J.P.O. Lima, José Heriberto Oliveira do Nascimento, Ralph Santos‐Oliveira, L.M.U.D. Fechine, L.M.U.D. Fechine, Rafael Melo Freire, Pierre Basílio Almeida Fechine

    Read original paper ↗ ·

  46. Mapping human pathogens in wastewater using a metatranscriptomic approach

    Environmental Research · 2023-05-05

    João Carneiro, Francisco Pascoal, Miguel Semedo, Diogo Pratas, Maria Paola Tomasino, Adriana Rego, Maria F. Carvalho, Ana Paula Mucha, Catarina Magalhães

    Read original paper ↗ ·

  47. Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021

    Technology in Society · 2023-05-19

    Stefan A. Hajkowicz, Conrad Sanderson, Sarvnaz Karimi, Alexandra Bratanova, Claire K. Naughtin

    Read original paper ↗ ·

  48. Advanced bioremediation by an amalgamation of nanotechnology and modern artificial intelligence for efficient restoration of crude petroleum oil-contaminated sites: a prospective study

    Environmental Science and Pollution Research · 2023-05-23

    Rupshikha Patowary, Arundhuti Devi, Ashis Kumar Mukherjee

    Read original paper ↗ ·

  49. Artificial intelligence assisted with designing metal‐organic frameworks (MOFs)

    Clinical and Translational Discovery · 2023-06-01

    Navid Rabiee

    Read original paper ↗ ·

  50. Predicting the ET(30) parameter of organic solvents via machine learning

    Chemical Physics Letters · 2023-06-15

    Vaneet Saini, Harsh Singh

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.