activity
20242026
most citedHydrogen-based direct reduction of multicomponent oxides: Insights from powder and pre-sintered precursors toward sustainable alloy design

8 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

Designing sustainable high-entropy alloys directly from mixed oxides: A thermodynamic perspective

Albert Linda, Shiv Shankar, Dierk Raabe

Hydrogen-based direct reduction (HyDR) of mixed oxide precursors offers an alternative route to produce sustainable alloys, bypassing the sequential extraction, refining, and remel…

cond-mat.mtrl-sci2025

Mechanistic insights into hydrogen reduction of multicomponent oxides via in-situ high-energy X-ray diffraction

Shiv Shankar, Barak Ratzker, Claudio Pistidda +2

Co-reduction of multicomponent oxides with hydrogen provides a carbon-neutral approach toward sustainable alloy design. Herein, we investigate the hydrogen-based direct reduction,…

cond-mat.mtrl-sci2025

Domain Boundaries in a Metallic Distortive Polar Metal

Adrian Savovici, Barak Ratzker, Xuyang Zhou +12

Polar metals are an underexplored material class combining two properties that are typically incompatible, namely a polar crystal structure and reasonable electrical conductivity.…

cond-mat.mtrl-sci2025★ 1 cited

Sustainable Pre-reduction of Ferromanganese Oxides with Hydrogen: Heating Rate-Dependent Reduction Pathways and Microstructure Evolution

Anurag Bajpai, Barak Ratzker, Shiv Shankar +2

The reduction of ferromanganese ores into metallic feedstock is an energy-intensive process with substantial carbon emissions, necessitating sustainable alternatives. Hydrogen-base…

cond-mat.mtrl-sci2025★ 8 cited

Hydrogen-based direct reduction of multicomponent oxides: Insights from powder and pre-sintered precursors toward sustainable alloy design

Shiv Shankar, Barak Ratzker, Yan Ma +1

The co-reduction of metal oxide mixtures using hydrogen as a reductant in conjunction with compaction and sintering of the evolving metallic blends offers a promising alternative t…

cs.CE2024★ 1 cited

A physics-encoded Fourier neural operator approach for surrogate modeling of divergence-free stress fields in solids

Mohammad S. Khorrami, Pawan Goyal, Jaber R. Mianroodi +3

The purpose of the current work is the development of a so-called physics-encoded Fourier neural operator (PeFNO) for surrogate modeling of the quasi-static equilibrium stress fiel…