Virtual BirgerAI

Built from Birger Horstmann's papers · DLR / Helmholtz Institute Ulm

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51 of 154papers in Birger's battery bibliography are read in full

Virtual Birger answers only from the full-text papers, which are open access. The other 103 are paywalled or had no open-access copy, so it knows only their titles: it can point you to them but can't say what they found. Wrote one of them, or know a free copy? Help us add it.

The work in brief

Birger's work develops thermodynamically consistent continuum models of reaction, transport, precipitation and mechanics in batteries, aimed at explaining degradation and guiding the design of electrodes and electrolytes. A large share concerns the solid-electrolyte interphase (SEI): its morphology and dual-layer structure, the transport mechanism behind its long-term growth (electron diffusion, neutral lithium interstitials versus solvent diffusion), its growth during cycling, and its chemo-mechanical interplay with silicon anodes and lithium metal, including voltage hysteresis, fracture and isolated lithium during stripping. Other recurring subjects are metal-air and zinc batteries (precipitation, zinc shape change, near-neutral and chloride electrolytes, MnO2 cathodes in zinc-ion cells) and continuum theories of highly concentrated electrolytes, ionic liquids, polymer and solid electrolytes, covering transference numbers, reference frames, space-charge layers and solvation in the double layer.

The earliest papers (2012–2014) model lithium–oxygen batteries, covering lithium hydroxide precipitation and rate-dependent Li2O2 morphology. From about 2015 to 2020 the focus moves to SEI growth theory and to zinc-air cells, with volume-averaged and multi-dimensional simulations validated against experiments. Since 2020 the work adds silicon and lithium-metal chemo-mechanics, zinc-ion batteries and degradation of satellite batteries using in-flight data. It also brings in Bayesian parameter estimation and model selection (EP-BOLFI, Bayesian quadrature) to parameterize SEI and aging models against measured data, alongside molecular dynamics and experimental electrolyte parameterization and, most recently, studies of battery simulation on quantum computers.

AI-written from the paper titles and abstracts; Birger hasn't reviewed it.

Themes

SEI growth and morphology8 papers

Continuum models of how the solid-electrolyte interphase forms and grows, comparing transport mechanisms, dual-layer structure and capacity fade during storage and cycling.

Chemo-mechanics of silicon and lithium metal8 papers

Coupled chemical-mechanical models of silicon particles and nanowires with SEI, and of lithium plating, stripping and isolated lithium formation in lithium metal anodes.

Zinc and metal-air batteries8 papers

Theory-based design and simulation of zinc-air, zinc-ion and lithium-oxygen cells, including electrolyte speciation, precipitation, crystal growth and electrode shape change.

Concentrated and solid electrolyte theory8 papers

Thermodynamically consistent transport theories for ionic liquids, highly concentrated, polymer and solid electrolytes, covering reference frames, double layers and solvation.

Bayesian parameterization and aging estimation8 papers

Bayesian inference and model selection for parameterizing physics-based battery models and estimating degradation in automotive cells and satellite batteries.

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