Launch week offerEnds in00h00m00s

annual Promonthly Pro

Ayana Ghosh

Assistant Professor

Indian Institute of Technology Madras

No Info

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Condensed Matter Physics

Articles (20)

Year:

2026

Year:

2026

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (5)

Serge Nakhmanson

Professor

University of Connecticut

UNITED STATES

View details

Sergei Kalinin

Weston Fulton Chair Professor

University of Tennessee

UNITED STATES

View details

Yury Gogotsi

UNITED STATES

View details

Kai Xiao

Staff Scientist

Oak Ridge National Laboratory

UNITED STATES

View details

Raymond Unocic

Associate Professor

North Carolina State University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ayana Ghosh

Research Interests

Make your next move.

Explore related searches

Articles (20)

Polar and electronic phase control through interacting structural modes

Causal Reasoning for Controlling Polarization Switching in Hybrid Improper Ferroelectrics

Active deep kernel learning of molecular properties from structural embeddings

Direct Fabrication of Atomically Defined Pores in MXenes Using Feedback‐Driven STEM

Exploring electron-beam induced modifications of materials with machine-learning assisted high temporal resolution electron microscopy

Mapping causal pathways with structural modes fingerprint for perovskite oxides

Active causal learning for decoding chemical complexities with targeted interventions

Insights into Prismatic Loop Formation in Irradiated Fe–Cr Alloys from Hypothesis-Driven Active Learning and Causal Analysis

Structural mode coupling in perovskite oxides using hypothesis-driven active learning

Designing workflows for materials characterization

Predictive Design of Hybrid Improper Ferroelectric Double Perovskite Oxides

Bending-induced isostructural transitions in ultrathin layers of van der Waals ferrielectrics

Towards physics-informed explainable machine learning and causal models for materials research

Identification of novel organic polar materials: A machine learning study with importance sampling

Machine learning for automated experimentation in scanning transmission electron microscopy

Discovery of structure–property relations for molecules via hypothesis-driven active learning over the chemical space

Stress and Curvature Effects in Layered 2D Ferroelectric CuInP2S6

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning

Switching of Hybrid Improper Ferroelectricity in Oxide Double Perovskites

Probe microscopy is all you need *

Collaborators (5)

Serge Nakhmanson

Sergei Kalinin

Yury Gogotsi

Kai Xiao

Raymond Unocic

Make your next move.