Thrilled to announce that I've joined the incredible team of the Department of Chemistry at
@IITGuwahati
as an Assist. Prof. My journey begins here, where I'll be establishing my own research lab dedicated to Computer-Aided Molecular Design of Advanced Functional Materials. 💻🧪
Our collaborative machine learning work on material classification is in arxiv:
CEGAN: Crystal Edge Graph Attention Network for multiscale classification of materials environment
Our new preprint on polyamorphic transformation in water glasses!
#compchem
#amorphousice
Kinetics and Mechanisms of Pressure-induced Ice Amorphization and Polyamorphic Transitions in a Machine-learned Coarse-Grained Water Model | ChemRxiv
We are seeking motivated students, who have cleared CSIR-UGC-NET/DST-INSPIRE-JRF, for our newly established computational material science and biomaterials group
@IITGChem
. Shoot an email to ddhabal
@iitg
.ac.in with your CV & complete the appl. on by Oct. 5
Delighted to receive the “Distinction in Ph.D. research” award from IIT Delhi! Heartfelt gratitude to my Ph.D. advisors, Late Prof. Charusita Chakravarty, Dr. Hemant K. Kashyap, and Prof. Ramakrishna Ramaswamy. Thanks to the reviewers, the Dept of Chem & the Director of IIT Delhi
Here it is!! We demonstrate that ML-BOP, a machine-learned coarse-grained water model has accuracy comparable to TIP4P/2005 and TIP4P/Ice, in reproducing both water and ice-water thermodynamics.
#compchem
#MachineLearning
@UtahChemistry
Glad to see that my postdoc advisor Prof. Valeria Molinero has been awarded Irving Langmuir Award in chemical physics, 2023. Many congratulations Vale!
Excited to share our latest research on liquid-liquid phase separation in water at the Gordon Research Conference (GRC) on Chemistry and Physics of Liquids! Such an incredible experience with amazing talks, both experimental and simulation-based.
#GRC
#CompChem
Interested candidates can apply for an Institute Post-Doctoral Fellowship (IPDF) for the year 2023-24 at
@IITGuwahati
Please click on the link to access additional information
Our new preprint on polyamorphic transformation in water glasses!
#compchem
#amorphousice
Kinetics and Mechanisms of Pressure-induced Ice Amorphization and Polyamorphic Transitions in a Machine-learned Coarse-Grained Water Model | ChemRxiv
Glad to join the Editorial Board of Frontiers in Chemistry
@FrontiersIn
as a review editor in the "Theoretical and Computational Chemistry" section.
#research
#journals
#chemistry
For details, see
Back to a topic close to my heart, "water and ice" What can a monatomic water model do and not do?
#compchem
#MachineLearning
in ChemRxiv
Stability & Metastability of Liquid water in a Machine-learned Coarse-grained Model with Short-range Interactions
Our published
#compchem
article with
@andressaab
on
@angew_chem
is considered as “Hot Paper”. Check out the final version of the paper on the given link.
@SamratLabMohali
Maybe not fully, in the simulation model development community. Because this masterpiece has given the first water model for simulations.
Food for thought...🤔 In our first foray into
#neuralnetworks
, we were interested in accelerating 🚀
#water
simulations using
#DeePMD
trained on
#MBpol
. We found that
#DeePMD
reproduces
#MBpol
in the bulk but not at the vapor/liquid interface.
👉
1/5
@robertowexler
Agree with you! Yes, the INDUS code for simple probe volumes is available as a part of PLUMED from Patelgroup’s (my previous postdoc supervisor) website Thank you!
@Shan_Mr_D
@angew_chem
@UUtah
@UtahChemistry
Thank you! The model is suitable for zeolites other than we discussed in this work. By tuning the size and composition of the SDA one can form different zeolite crystals using the same model.
@kshatresh
This quote by George Box stands as a significant reminder:
“All models are wrong, some are useful.” Personally, I find this assertion to hold true.