Citation Impact
Citing Papers
Image and data mining in reticular chemistry powered by GPT-4V
2024 StandoutNobel
Increased CO 2 Affinity and Adsorption Selectivity in MOF-801 Fluorinated Analogues
2022
MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning**
2022
ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models
2024
MOF water harvesters
2020 StandoutNobel
Controlling Guest Diffusion by Local Dynamic Motion in Soft Porous Crystals to Separate Water Isotopologues and Similar Gases
2024 StandoutNobel
A GPT‐4 Reticular Chemist for Guiding MOF Discovery**
2023 StandoutNobel
The application of machine learning for predicting the methane uptake and working capacity of MOFs
2021
Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models
2023 StandoutNobel
Covalent Organic Frameworks: Design, Synthesis, and Functions
2020 Standout
Kinetic stability of metal–organic frameworks for corrosive and coordinating gas capture
2019
Tailoring the Properties of UiO-66 through Defect Engineering: A Review
2019
Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery
2021
Single Crystals Heterogeneity Impacts the Intrinsic and Extrinsic Properties of Metal–Organic Frameworks
2021 StandoutNobel
ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs
2023 StandoutNobel
Water and Metal–Organic Frameworks: From Interaction toward Utilization
2020 Standout
Increased CO2/N2 selectivity by stepwise fluorination in isoreticular ultramicroporous metal–organic frameworks
2024 StandoutNobel
Spectroscopy, microscopy, diffraction and scattering of archetypal MOFs: formation, metal sites in catalysis and thin films
2020
Visualizing Pore Packing and Topology in MOFs
2022 StandoutNobel
Ionic Conduction Mechanism and Design of Metal–Organic Framework Based Quasi-Solid-State Electrolytes
2022 StandoutNobel
DigiMOF: A Database of Metal–Organic Framework Synthesis Information Generated via Text Mining
2023
Controlled Gas Uptake in Metal–Organic Frameworks with Record Ammonia Sorption
2018
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
Informative Training Data for Efficient Property Prediction in Metal–Organic Frameworks by Active Learning
2024
Bayesian optimization of nanoporous materials
2021
System of sequences in multivariate reticular structures
2022 StandoutNobel
Works of Aditya Nandy being referenced
MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks
2022
Understanding the diversity of the metal-organic framework ecosystem
2020
A transferable recommender approach for selecting the best density functional approximations in chemical discovery
2022
A database of ultrastable MOFs reassembled from stable fragments with machine learning models
2023
Highly effective ammonia removal in a series of Brønsted acidic porous polymers: investigation of chemical and structural variations
2017
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
2021
NMR Spectroscopy Reveals Adsorbate Binding Sites in the Metal–Organic Framework UiO-66(Zr)
2018
DFT-Based Multireference Diagnostics in the Solid State: Application to Metal–Organic Frameworks
2022