Sukriti Manna

Researcher @Argonne National Laboratory.

[Sukriti Manna @sukritimanna]

Just published our latest research @ScientificData Introducing the largest database (https://t.co/aaTz2O4Oz1) of atomically precise 63k nanoclusters across 55 different elements #nanotechnology #research #Database
https://t.co/I9TGJpnC9P

@JohnsHopkins

[Sukriti Manna @sukritimanna]

@Ai_Vaidehi Need

[Sukriti Manna @sukritimanna]

@Dipanshu_AI Drive

[Debdas Dhabal @dhabaldebdas]

Glad to be a part of this exciting article! #compchem #MachineLearning #silica #ffdevelopment @Nature_NPJ
https://t.co/7DXrTF4oNl

[Sukriti Manna @sukritimanna]

@TarakChem @JPhysChem @iitdelhi @serbonline @TarakChem Kudos on impressive MPC work! Structure prediction is very challenging. Building even bare nanocluster databases (https://t.co/aaTz2O4Oz1) proved cumbersome from our experience https://t.co/I9TGJpnC9P

[Sukriti Manna @sukritimanna]

@m_a_caro @PhysRevB @SuomenAkatemia @CSCfi No worries! It happens. Sometimes valuable papers can go unnoticed due to the vastness of available resources. Glad you found it now, and it's great that you'll be referencing it in your subsequent work.

[Sukriti Manna @sukritimanna]

Just published our latest research @ScientificData Introducing the largest database (https://t.co/aaTz2O4Oz1) of atomically precise 63k nanoclusters across 55 different elements #nanotechnology #research #Database
https://t.co/I9TGJpnC9P

@JohnsHopkins

[JP Aumasson @veorq]

something good about Python

[Troy Loeffler @TroyDLoeffler]

https://t.co/Bp8KPEgTeb

[Debdas Dhabal @dhabaldebdas]

Our collaborative machine learning work on material classification is in arxiv:
https://t.co/ze0m5EwZhv
CEGAN: Crystal Edge Graph Attention Network for multiscale classification of materials environment

[Mathew Cherukara @MJCherukara]

Our work using #AI to rapidly develop a flexible model for phosphorene (2D phosphorous) is featured on the cover of @JPhysChem Letters: https://t.co/vH9s6u0NNd
@sukritimanna @TroyDLoeffler

#nanotechnology #AI4Science

[Sukriti Manna @sukritimanna]

Check out our recent work on developing new RL techniques for developing force fields for 54 elemental clusters, and several binary alloys.
@TroyDLoeffler @argonne @MJCherukara @a
@UICPostdoc
@UIC
https://t.co/oJv2D8PVY3
#ReinforcementLearning #NanoscaleMaterials

[Troy Loeffler @TroyDLoeffler]

Our paper in nature communications went live. In this we use re-enforcement learning based approaches to accelerate the training of molecular dynamics physics models across the periodic table.

https://t.co/bxhwkvWQvI

#MachineLearning #Nature #materialsscience #ML #DataScience

[Sukriti Manna @sukritimanna]

A Database of Low-Energy Atomically Precise Nanoclusters | ChemRxiv https://t.co/RcQqsZs76n

https://t.co/6cTNpO3y8h

[Babak Anasori @banasori]

Discovery of High-Entropy 2D #MXenes
preprint on ChemRxiv: significantly expanding the compositional variety of the @2dMXene
@Kartik_Nemani @bwyattLMSL @IUPUI @IUPUI_EngrTech #2dmaterials

https://t.co/kkgf5h0AlD

[Oded Rechavi @OdedRechavi]

Encouraging preliminary results https://t.co/aeCAqU4jHG

[Sukriti Manna @sukritimanna]

Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data https://t.co/kV3MaZQdbQ

[Sukriti Manna @sukritimanna]

Artificial intelligence is energy-hungry -- new hardware could curb its appetite: Quantum material could offset energy demand of artificial intelligence https://t.co/EvAFCTUps4

[PHD Comics @PHDcomics]

Happy New Year - Check out the TOP 18 PHD Comics of 2018: https://t.co/QHCfxCzSQQ