scholarly journals Designer quantum materials

2019 ◽  
Author(s):  
Shashank Misra ◽  
Daniel Robert Ward ◽  
Andrew David Baczewski ◽  
Quinn Campbell ◽  
Scott William Schmucker ◽  
...  
Keyword(s):  
Quantum Materials

scholarly journals Advances in Rare‐Earth Tritelluride Quantum Materials: Structure, Properties, and Synthesis

2021 ◽  
pp. 2004762
Author(s):  
Kentaro Yumigeta ◽  
Ying Qin ◽  
Han Li ◽  
Mark Blei ◽  
Yashika Attarde ◽  
...  
Keyword(s):  
Rare Earth ◽  
Quantum Materials ◽  
Structure Properties

scholarly journals Autonomous reinforcement learning agent for chemical vapor deposition synthesis of quantum materials

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Pankaj Rajak ◽  
Aravind Krishnamoorthy ◽  
Ankit Mishra ◽  
Rajiv Kalia ◽  
Aiichiro Nakano ◽  
...  
Keyword(s):  
Chemical Vapor Deposition ◽  
Reinforcement Learning ◽  
Vapor Deposition ◽  
Chemical Vapor ◽  
Time Behavior ◽  
Materials Synthesis ◽  
Design Synthesis ◽  
Learning Agent ◽  
Threshold Temperatures ◽  
Quantum Materials

AbstractPredictive materials synthesis is the primary bottleneck in realizing functional and quantum materials. Strategies for synthesis of promising materials are currently identified by time-consuming trial and error and there are no known predictive schemes to design synthesis parameters for materials. We use offline reinforcement learning (RL) to predict optimal synthesis schedules, i.e., a time-sequence of reaction conditions like temperatures and concentrations, for the synthesis of semiconducting monolayer MoS2 using chemical vapor deposition. The RL agent, trained on 10,000 computational synthesis simulations, learned threshold temperatures and chemical potentials for onset of chemical reactions and predicted previously unknown synthesis schedules that produce well-sulfidized crystalline, phase-pure MoS2. The model can be extended to multi-task objectives such as predicting profiles for synthesis of complex structures including multi-phase heterostructures and can predict long-time behavior of reacting systems, far beyond the domain of molecular dynamics simulations, making these predictions directly relevant to experimental synthesis.

scholarly journals Quantum materials with strong spin-orbit coupling: challenges and opportunities for materials chemists

2021 ◽  
Author(s):  
Alexander J. Browne ◽  
Aleksandra Krajewska ◽  
Alexandra Gibbs
Keyword(s):  
Transition Metals ◽  
Quantum Effect ◽  
Orbit Coupling ◽  
Spin Orbit Coupling ◽  
Spin Orbit ◽  
Challenges And Opportunities ◽  
Quantum Materials ◽  
Magnetic States ◽  
Strong Spin

Spin-orbit coupling is a quantum effect that can give rise to exotic electronic and magnetic states in the compounds of the 4d and 5d transition metals. Exploratory synthesis, chemical tuning...

scholarly journals Spatial Mapping of Electrostatics and Dynamics in Quantum Materials

2021 ◽  
Vol 27 (S1) ◽  
pp. 1436-1438
Author(s):  
Akshay Murthy ◽  
Stephanie Ribet ◽  
Roberto dos Reis ◽  
Vinayak Dravid
Keyword(s):  
Spatial Mapping ◽  
Quantum Materials

Recent Advances in Topological Quantum Materials by Angle-Resolved Photoemission Spectroscopy

Matter ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1114-1141
Author(s):  
Yujie Chen ◽  
Xu Gu ◽  
Yiwei Li ◽  
Xian Du ◽  
Lexian Yang ◽  
...  
Keyword(s):  
Photoemission Spectroscopy ◽  
Angle Resolved Photoemission Spectroscopy ◽  
Recent Advances ◽  
Topological Quantum ◽  
Quantum Materials

Crystal growth of quantum materials: a review of selective materials and techniques

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Nashra Pistawala ◽  
Dibyata Rout ◽  
Kumar Saurabh ◽  
Rabindranath Bag ◽  
Koushik Karmakar ◽  
...  
Keyword(s):  
Crystal Growth ◽  
Quantum Materials
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