Titanic effort to uncover novel polymer electrolytes

Ever since Italian physicist Alessandro Volta invented the first battery out of a stack of copper and zinc disks separated by moistened cardboard, scientists have been searching for better battery materials.

Lithium-ion batteries, which are light, long-lasting and operate under a wide range of temperatures, now power everything from cell phones to aircraft carriers to electric cars. The ubiquity of lithium-ion batteries makes their stability, efficiency and safety important for businesses and consumers alike.

One of the main challenges researchers face in improving lithium-ion batteries is finding novel, nonflammable materials for the electrolyte. The electrolyte is the crucial battery component that shuttles lithium ions during charging and discharging, thereby transferring energy. Scientists are continually looking for novel electrolytes that are not only stable but also conductive to lithium ions, a property that lithium-ion batteries require to maintain efficiency during charge cycles.

A team led by Thomas Miller at the California Institute of Technology (Caltech) has now used the Cray XK7 Titan supercomputer at the US Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) to identify potential electrolyte materials and predict which ones could enhance the performance of lithium-ion batteries. Using Titan, the researchers ran hundreds of simulations – each comprising thousands of atoms – on new electrolyte candidates. This work, which is reported in a paper in the Journal of Physical Chemistry Letters, led them to identify new electrolytes with promising properties for lithium-ion conduction.

According to Miller, a professor of chemistry at Caltech and principal investigator on the project, a leadership-class supercomputer was essential to meeting the project's goals. This is because the simulations ran on timescales that ranged from a femtosecond (one quadrillionth of a second) up to a microsecond (one millionth of a second), spanning nine orders of magnitude.

"These calculations are extremely demanding in terms of computational resources," he explained. "We are dealing with – from a molecular perspective – very big systems and long timescales." In order to screen multiple candidate electrolytes, the team needed to rapidly describe a range of complex materials. Luckily, Titan – part of the Oak Ridge Leadership Computing Facility (OLCF), a DOE Office of Science User Facility located at ORNL – enabled them to do just that.

All batteries contain an electrolyte, a liquid or solid material that insulates the flow of electrons but promotes the flow of ions between the anode and cathode, which are the two electrodes that conduct electrical current. Electrons inside the battery move through an external circuit, allowing them to power a device, on the way to the cathode, the battery's positive electrode. When the electrons leave the anode, the positively-charged ions (lithium ions) travel across the electrolyte to the cathode. This process continues until the reactants are depleted (meaning the battery loses its charge) or the circuit is disconnected.

In rechargeable batteries the cycle can be reversed, with the lithium ions traveling back to the anode during charging. The lithium ions are conserved during charging and discharging, continually switching back and forth between the electrodes.

Typically, lithium-ion batteries feature liquid electrolytes, but new research is focusing on polymer-based electrolytes, which are known to be more stable, less flammable and less volatile. Historically, the best polymer electrolyte for lithium-ion batteries has been polyethylene oxide (PEO), a versatile polymer with various applications in both medicine and science. The addition of lithium salts to polymers like PEO allows them to be used as solid polymer electrolytes; the salt contains both lithium cations and some negatively-charged anions to balance the charge.

An ideal electrolyte is one that readily dissolves and then conducts lithium ions. The problem with PEO is that it conducts lithium ions poorly in comparison to liquid electrolytes. This means the ions travel slowly to the cathode, limiting the current the battery can produce. PEO also conducts the anions too quickly; while the anions are useful for balancing the charge of lithium cations, their rapid conduction produces a loss in battery voltage.

Using this knowledge, Miller's team began a hunt for more efficient polymers. Brett Savoie, a postdoctoral fellow at Caltech, thought that reversing the typical solid polymer electrolyte dynamic could help Miller's team find more ideal polymers. "You want to conduct the positive lithium ions," Miller said. "You don't want to conduct the negative ions in the salt."

The team set out in search of polymers that would conduct lithium ions more quickly than PEO. Using high-performance computing, Miller's team created the chemically-specific dynamic bond percolation model, a coarse-grained simulation that was developed and validated by the group, to screen electrolyte materials based on short molecular dynamics trajectories. They first screened a set of 500 diverse classes of polymers to find ones that were better conductors of lithium ions. One group of polymers, in particular, seemed to fit the bill: Lewis-acidic polymers.

Lewis-acidic molecules hold a positive charge and strongly interact with anions. Miller's team designed simulations using Lewis-acidic polymers as the electrolyte in the hope they would slow down anion conduction. These polymers, Miller said, had not been simulated or studied experimentally before.

In their simulation, the team found that this class of polymers not only conducted the anions more slowly than PEO but also conducted the positive lithium ions more quickly. Because Lewis-acidic chemical groups' positive regions are contained in a small amount of space and their negative regions are spread out over a large amount of space, the positive lithium ions have more opportunities to dissolve. "It was known that Lewis-acidic molecules slowed down anions," Savoie said. "What was surprising here was that by using a purely Lewis-acidic system, we also sped up the lithium."

The simulations indicated that these polymers may be capable of producing an eight-fold increase in desired lithium conduction and a marked decrease in the unwanted anion conduction. This would be – given the historically slow pace of discovering new polymer materials – a very large jump.

The team tracked the molecular evolution on timescales that ranged from a femtosecond to a microsecond. The ability to span this vast range of timescales was made possible with Titan, which can compute at a rate of 27 petaflops, or 27 quadrillion calculations per second.

The team used LAMMPS, an open-source classical molecular dynamics code, to run its simulations, looking at several dozen polymer-salt combinations under different salt concentrations. Around 400 simulations at a time were run in parallel. Each simulation consisted of around 3000 atoms periodically replicated in three-dimensional space to create the effect of a bulk polymer material, with a certain concentration of ions per unit of periodic replication.

Though Miller's team is continuing to screen promising polymer sequences with the goal of completing its 5000th candidate electrolyte by the end of 2017, the project has already led to the identification of polymers that may favor lithium-ion conduction.

"These new polymers are exciting because they seem to overcome some of the main problems with other polymer materials," Miller said. "The predictions indicate that these polymers might exhibit a substantial increase in conductivity. It would be a tremendous improvement from the current lithium-ion conductivity that PEO affords."

The researchers continue to run their simulations on Titan under an Innovative and Novel Computational Impact on Theory and Experiment award, for which they've been allocated 40 million core hours.

According to Miller, next-generation supercomputers like the OLCF's Summit, scheduled to come online in 2018, will greatly expand their research capabilities, allowing his team to explore even larger areas of chemical space. "With faster computers we'll be able to do this with even better accuracy," he said. "We'll also be able to look at more polymers more reliably and on longer timescales. Improved computers are going to rapidly accelerate the pace of discovery for materials of this kind."

This story is adapted from material from ORNL, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier. Link to original source.